In this tutorial, we delve into the fascinating world of object detection using UiPath AI Center. Whether you’re a seasoned developer or just starting out, this step-by-step guide will walk you through the process of building an object detection project from scratch.
🚀 Key Highlights:
Introduction to Object Detection: Understand the basics of object detection and its applications.
Setting Up UiPath AI Center: Learn how to create a project and select machine learning package for object detection in UiPath AI Center.
Build Project on UiPath Studio: Assess your model’s in UiPath Studio and make unique adjustments to get the best out of the model.
🔍 The “ObjectDetection” Model: This is a generic, retrainable deep learning model designed specifically for object detection. Here are the key details:
Pretrained on COCO Dataset: The model comes pretrained on the COCO (Common Objects in Context) Dataset, which includes a wide range of object classes.
ML Skill Creation: You can directly create an ML Skill using this model to identify the 80 classes from the COCO Dataset.
Custom Training: If you have your own data, you can fine-tune the model to work on your specific objects.
YOLO Algorithm: The model utilizes the state-of-the-art “You Only Look Once” (YOLO) algorithm, known for its efficiency and accuracy in object detection.
Innovative Ideas: It incorporates cutting-edge concepts from the field of computer vision.
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